Deep Learning with Python

Book Name: Deep Learning with Python
Author: Francois Chollet
Publisher: Manning Publications
ISBN-10: 1617294438
Year: 2017
Pages: 384 / 386
Language: English
File size: 10.91 MB
File format: PDF

Deep Learning with Python Pdf Book Description:

Overview

Deep Learning using Python introduces the area of profound learning with the Python language and the strong Keras library. Composed by Keras founder and Google AI writer François Chollet, this book builds your comprehension via intuitive explanations and practical examples.

Buy of this print publication contains a free eBook from PDF, Kindle, and ePub formats from Manning Publications.

Concerning the Technology

We moved from near-unusable address and image recognition, to near-human precision. We moved from machines which could not conquer a serious Go participant, to beating a world champion. Behind this advancement is profound learning–a mixture of engineering improvements, best practices, and concept that permits a wealth of previously impossible clever software.

About the Novel

Deep Learning using Python introduces the area of profound learning with the Python language and the strong Keras library. Composed by Keras founder and Google AI writer François Chollet, this book builds your comprehension via intuitive explanations and practical examples. You will explore challenging notions and exercise together with programs in computer vision, natural-language processing, and generative models. From the time you complete, you will have the hands-on and knowledge abilities to employ deep learning from your personal endeavors.

What is Inside

Deep learning from first principles
Establishing your deep-learning surroundings
Image-classification versions
deep learning for strings and text
Neural style move, text creation, and picture generation
Concerning the Reader

Clients need intermediate Python abilities.

About the Writer

François Chollet operates on profound learning at Google in Mountain View, CA. He’s the founder of this Keras deep-learning library, in addition to a contributor to the TensorFlow machine-learning frame. He does deep-learning study, with a concentration on computer vision and also the use of machine learning to appropriate reasoning.